中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (9): 144-149.doi: 10.16265/j.cnki.issn1003-3033.2019.09.023

• 安全工程技术科学 • 上一篇    下一篇

改进分水岭算法的煤岩孔隙重构及渗流模拟

吴鑫1,2 副教授, 彭雅雯1, 晏巧1, 赵红霞1, 王雪梅1   

  1. 1 四川师范大学 工学院,四川 成都 610101;
    2 四川大学 水利学与山区河流开发保护国家重点实验室,四川 成都 61006
  • 收稿日期:2019-05-25 修回日期:2019-07-16 出版日期:2019-09-28 发布日期:2020-10-30
  • 作者简介:吴 鑫 (1983—),男,四川遂宁人,博士,副教授,主要从事矿山岩石力学与灾害防治方面的工作。E-mail:xinwu@sicnu.edu.cn。
  • 基金资助:
    国家应急管理部安全生产重特大事故防治关键技术项目(sichuan-0011-2018AQ);四川省科技计划项目(19YYJC2854);四川省教育厅重点项目(18ZA0407)。

Reconstruction of coal pore network based on improved watershed algorithm and seepage simulation

WU Xin1,2, PENG Yawen1, YAN Qiao1, ZHAO Hongxia1, WANG Xuemei1   

  1. 1 Institute of Technology, Sichuan Normal University, Chengdu Sichuan 610101, China;
    2 State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu Sichuan 610065, China
  • Received:2019-05-25 Revised:2019-07-16 Online:2019-09-28 Published:2020-10-30

摘要: 为更加真实地还原出煤的数字孔隙网络结构,模拟煤孔隙中瓦斯微观渗流过程,开展基于形态学改进分水岭算法的煤岩孔隙重构研究。首先基于改进型分水岭算法,提出识别煤基质颗粒分布参数与孔隙网络的方法,通过中值滤波和数学形态学变换降低信号噪声的影响,减少“过分割”现象;然后以5~10、10~40和40~80目粒径型煤为例,识别颗粒分布参数,构建型煤孔隙网络结构;最后基于格子玻尔兹曼方法(LBM)渗流模拟检验孔隙网络瓦斯。结果表明:改进型分水岭算法降低了噪声干扰,重建的煤孔隙结构具有较高的复杂性和连通性;利用LBM算法模拟孔隙结构渗流,能展示出瓦斯渗流速度和方向等局部细节。

关键词: 分水岭分割(WS), 孔隙网络, 粒径, 渗流模拟, 格子玻尔兹曼方法(LBM)

Abstract: In order to construct the digital pore network structure of coal to simulate the microscopic seepage process of gas in coal pores, the pore-reconstruction study of coal rock based on the morphological improvement of watershed algorithm was carried out. Firstly, a method based on improved watershed algorithm to identify coal matrix particle distribution parameters and pore network was proposed, and the noise influence was reduced by median filtering and mathematical morphology transformation to avoid the phenomenon of "over-segmentation". Then, taking 5-10 mesh, 10-40 mesh and 40-80 mesh size coal as examples, the particle distribution parameters were identified and the pore network structure of the coal was established. Finally, the seepage simulation test was carried out to verify pore network gas based on the LBM. The results show that the improved watershed algorithm reduces noise interference and the reconstructed coal pore structure has high complexity and connectivity, and that the seepage simulation of the pore structure by LBM algorithm can show local details such as gas seepage velocity and direction.

Key words: watershed segmentation(WS), pore network, particle size, seepage simulation, lattice Bltzmann method (LBM)

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